Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

13 September 2016

Papers citing "Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach"

50 / 215 papers shown

Title
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 24 6 0 01 Apr 2021
Collaborative Label Correction via Entropy Thresholding Hao Wu Jiangchao Yao Jiajie Wang Yinru Chen Ya-Qin Zhang Yanfeng Wang NoLa 6 4 0 31 Mar 2021
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation Waqar Ahmed Pietro Morerio Vittorio Murino 8 4 0 29 Mar 2021
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation Chen Li G. Lee OOD 9 81 0 27 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Andrew Zhang Zhenmin Tang NoLa 27 133 0 24 Mar 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 28 15 0 22 Mar 2021
Supervised Learning in the Presence of Noise: Application in ICD-10 Code Classification Youngwoo Kim Cheng Li Bingyang Ye A. Tahmasebi J. Aslam NoLa 12 1 0 13 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 11 77 0 06 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 11 29 0 05 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 19 3 0 01 Mar 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 21 19 0 24 Jan 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification Yongxing Dai Jun Liu Yan Bai Zekun Tong Ling-yu Duan 11 77 0 26 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 17 6 0 09 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 97 34 0 08 Dec 2020
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection M. Zaheer Arif Mahmood Marcella Astrid Seung-Ik Lee 15 133 0 24 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 18 54 0 07 Nov 2020
An Investigation of how Label Smoothing Affects Generalization Blair Chen Liu Ziyin Zihao W. Wang Paul Pu Liang UQCV 21 17 0 23 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 8 55 0 10 Oct 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 15 21 0 19 Sep 2020
Salvage Reusable Samples from Noisy Data for Robust Learning Zeren Sun Xiansheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu Jian Andrew Zhang NoLa 21 41 0 06 Aug 2020
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations Gabriel Meseguer-Brocal Rachel M. Bittner Simon Durand B. Brost 27 6 0 05 Aug 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 22 38 0 11 Jul 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Mingming Gong Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 6 67 0 14 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 25 29 0 10 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 23 133 0 08 Jun 2020
Learning Multiclass Classifier Under Noisy Bandit Feedback Mudit Agarwal Naresh Manwani NoLa 11 3 0 05 Jun 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 60 32 0 15 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 497 0 05 Mar 2020
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama 11 177 0 19 Feb 2020
Learning Not to Learn in the Presence of Noisy Labels Liu Ziyin Blair Chen Ru Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda NoLa 16 18 0 16 Feb 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 19 104 0 11 Jan 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Yixiao Ge Dapeng Chen Hongsheng Li 13 555 0 06 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis Yifan Zhang Ying Wei P. Zhao Shuaicheng Niu Qingyao Wu Mingkui Tan Junzhou Huang OOD 18 144 0 17 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 36 672 0 31 Oct 2019
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 12 28 0 22 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 16 308 0 04 Oct 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 9 265 0 19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 11 874 0 16 Aug 2019
Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation Haidong Zhu Jialin Shi Ji Wu NoLa 11 65 0 27 Jul 2019
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks Peixiang Zhong Di Wang C. Miao 23 513 0 18 Jul 2019
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya-Qin Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 13 5 0 26 Jun 2019
Combating Label Noise in Deep Learning Using Abstention S. Thulasidasan Tanmoy Bhattacharya J. Bilmes Gopinath Chennupati J. Mohd-Yusof NoLa 8 177 0 27 May 2019
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 50 172 0 24 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 11 602 0 25 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 11 24 0 08 Apr 2019
A Robust Learning Approach to Domain Adaptive Object Detection Mehran Khodabandeh Arash Vahdat Mani Ranjbar W. Macready ObjD OOD TTA 11 245 0 04 Apr 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David A. Clifton N. Robertson NoLa 16 62 0 28 Mar 2019